bioRxiv Science⌕ Search

bioRxiv · 10.1101/2025.09.12.675856

CCL5/CCR5 signaling modulates depression-relevant behavior, neuronal oscillations, and long-term depression of synaptic activity.

Abstract

Major depressive disorder (MDD) is a debilitating disorder, often associated with perseverative thinking and anxiety. Localized reductions in pyramidal cell activity may contribute to associated symptoms, and effective antidepressant treatments typically enhance overall neuronal excitation. CCL5 is a chemokine that has been shown to reduce excitatory-neuronal activity, and is also increased with MDD and conditions that increase MDD risk. Here, we investigate the CCL5/CCR5 axis for its ability to modulate depression-relevant endpoints that are diminished in MDD, including neuronal oscillations, as well as biochemical and behavioral correlates of the disorder. In comparison to wildtype mice, CCR5 knockouts had increased gamma and theta power, and stronger theta/high-gamma phase amplitude coupling during dark-cycle EEG recordings. Compared to strain-matched wildtype mice, CCR5 knockouts also demonstrated reduced anxiety, increased sucrose preference, and improved associative memory. Proteomic analysis of the hippocampus showed that CCR5 knockouts had reduced levels of the GABA receptor alpha-4 subunit, which mediates tonic inhibition and restricts pyramidal cell plasticity. In complementary primary neuronal culture studies, CCL5 diminished GSK-3{beta} activity and impaired NMDA-dependent long-term depression (LTD), a form of plasticity that promotes cognitive flexibility. In addition, CCL5 signaling increased parvalbumin expression in GABAergic neurons through a CCR5-dependent manner. In combination with the ability of CCR5 to restrain gamma oscillation power and LTD, our data raise the possibility that CCL5/CCR5 signaling inhibits neuronal excitation through increased PV+ interneuron activity. Moreover, data are consistent with the possibility that CCR5 antagonists might share the ability of established antidepressants to both increase PC excitation and reduce PC inhibition. Significance StatementMajor depressive disorder (MDD) is a global leading cause of disability, and is associated with increased chemokine activation and inflammation. In this study, we investigate how the CCR5/CCL5 chemokine axis regulates behavioral and cognitive endpoints associated with MDD. This study aims to provide insight to how chemokine signaling underlies mood and behavioral symptoms of neuropsychiatric disorders. We hope this research supports further investigation of CCR5 antagonists for MDD and related mood and anxiety disorders.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Hummel, K., Stefansson, L., Gilbert, K., Amontree, M., Ma, J., Pak, D., Conant, K.. 2025-09-13. CCL5/CCR5 signaling modulates depression-relevant behavior, neuronal oscillations, and long-term depression of synaptic activity.. https://doi.org/10.1101/2025.09.12.675856

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

The Unreasonable Effectiveness of Cell Types in Describing Neuronal Physiological Features

Single-cell RNA sequencing (scRNA-seq) captures detailed gene expression profiles at scale, while patch-clamp recordings measure intrinsic neuronal electrophysiological properties. Modeling the relations between these two modalities remains a challenge. Here, we compare how well electrophysiological features can be predicted by traditional transcriptomic cell type classification, representations derived from a foundational model (scGPT) pretrained on large-scale scRNA-seq datasets, ion channel-coding genes, and highly variable genes. Using paired transcriptomic and electrophysiological patch-sequencing data from 495 human neurons from neurosurgical tissue, we find that cluster-level cell type representations consistently outperform highly variable gene selection, ion channel gene selection, and context-enriched scGPT embeddings. Notably, performance varies across model architectures and initializations, and the best results are obtained by combining the outputs of separate cell type and scGPT-based models. Together, these findings suggest that traditional discrete cellular classification is highly effective in predicting physiological features. For maximum performance it can be complemented by pretrained transformer models.

neuroscience↗

A nonlinear inhibition pathway underlying cortical responses to tuned holographic optogenetic perturbations

Optogenetics enables causal manipulation of cortical activity. Perturbation responses can be counterintuitive due to network interactions, making theory essential for predicting them. Existing approaches often rely on linear approximations, which fail for many biologically relevant perturbations. Here we develop a nonlinear theory of responses to holographic perturbations in cell-type-specific recurrent networks with structured connectivity. We fit a nonlinear model to mouse V1 data, which shows cotuned-ensemble suppression: perturbing spatially clustered neurons with similar preferred orientations yields markedly stronger short-range suppression than perturbing untuned ensembles. We show that cotuned-ensemble suppression arises from a feature-tuned, nonlinear inhibition pathway implicating somatostatin-positive (SST) interneurons. The theory predicts that cotuned ensembles suppress parvalbumin-positive (PV) neurons but facilitate SST neurons, and links the degree of cotuned-ensemble suppression or facilitation to the variance of the SST response. This framework identifies mechanisms by which nonlinear inhibition sculpts cortical dynamics and establishes a predictive basis for targeted optogenetic interventions.

neuroscience↗

Proteomic signatures of APOE ε4 across human tissues and cell types in Alzheimers disease

The apolipoprotein E {varepsilon}4 (APOE {varepsilon}4) allele is the strongest genetic risk factor for late-onset Alzheimers disease (AD). However, the underlying molecular mechanisms remain unclear. This study included 1691 participants from the Religious Orders Study and Rush Memory and Aging Project (ROSMAP), 1226 participants from the Accelerating Medicines Partnership - Alzheimers Disease (AMP-AD) Diverse Cohorts Study, and 735 participants from the Alzheimers Disease Neuroimaging Initiative (ADNI). To characterise APOE {varepsilon}4 molecular effects, we analysed proteomic data from plasma, cerebrospinal fluid (CSF), and induced pluripotent stem cell (iPSC)-derived astrocytes and neurons, as well as transcriptomic and proteomic data from multiple brain regions. The association of APOE {varepsilon}4 with AD neuropathology was also examined. APOE {varepsilon}4 carriers shared a plasma proteomic signature enriched for immune processes, irrespective of AD diagnosis. A machine learning classifier trained on this signature discriminated APOE {varepsilon}4 carriers from non-carriers in an independent cohort using CSF proteomics. APOE {varepsilon}4 carriage was associated with higher Braak stages and Consortium to Establish a Registry for Alzheimers Disease (CERAD) score. However, only limited APOE {varepsilon}4-associated transcriptomic and proteomic changes were observed in bulk brain tissue, with poor cross-layer concordance. Proteomic analyses of iPSC-derived astrocytes and neurons further revealed cell-type-specific APOE {varepsilon}4-associated changes. APOE {varepsilon}4 is associated with a consistent proteomic signature across plasma and CSF. Its molecular effects in the brain differ across cell types, brain regions and molecular layers. These findings support the need for cell-type-resolved multi-omic studies to elucidate how APOE {varepsilon}4 confers AD risk.

neuroscience↗